{"total":23,"rows":[{"id":"2310.18264","title":"Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt","created":"2023-10-27","cited_by_count":81,"area":null},{"id":"2402.16891","title":"Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization","created":"2024-02-23","cited_by_count":50,"area":null},{"id":"2111.03466","title":"Learning Large Neighborhood Search Policy for Integer Programming","created":"2021-11-01","cited_by_count":35,"area":null},{"id":"2202.07241","title":"Learning to Solve Routing Problems via Distributionally Robust Optimization","created":"2022-02-15","cited_by_count":31,"area":null},{"id":"2204.11399","title":"Efficient Neural Neighborhood Search for Pickup and Delivery Problems","created":"2022-04-25","cited_by_count":29,"area":null},{"id":"2410.21066","title":"Learning to Handle Complex Constraints for Vehicle Routing Problems","created":"2024-10-28","cited_by_count":29,"area":null},{"id":"2205.02453","title":"Learning to Solve Vehicle Routing Problems: A Survey","created":"2022-05-05","cited_by_count":16,"area":null},{"id":"2208.02447","title":"DL-DRL: A double-level deep reinforcement learning approach for large-scale task scheduling of multi-UAV","created":"2022-08-04","cited_by_count":9,"area":null},{"id":"2209.06094","title":"Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning","created":"2022-09-13","cited_by_count":8,"area":null},{"id":"2509.23413","title":"URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization","created":"2025-09-27","cited_by_count":8,"area":null},{"id":"2303.02442","title":"Neural Airport Ground Handling","created":"2023-03-04","cited_by_count":7,"area":null},{"id":"2409.03811","title":"PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization","created":"2024-09-05","cited_by_count":7,"area":null},{"id":"2507.00218","title":"Learning for routing: A guided review of recent developments and future directions","created":"2025-06-30","cited_by_count":7,"area":null},{"id":"2507.21386","title":"Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem","created":"2025-07-28","cited_by_count":3,"area":null},{"id":"2605.24484","title":"SPACE: Unifying Symmetric and Asymmetric Routing Problems for Generalist Neural Solver","created":"2026-05-23","cited_by_count":2,"area":null},{"id":"2411.17080","title":"DeepMDV: Global Spatial Matching for Multi-depot Vehicle Routing Problems","created":"2024-11-26","cited_by_count":1,"area":null},{"id":"2510.10262","title":"Enhancing the Cross-Size Generalization for Solving Vehicle Routing Problems via Continual Learning","created":"2025-10-11","cited_by_count":1,"area":null},{"id":"2605.10122","title":"Rethinking Constraint Awareness for Efficient State Embedding of Neural Routing Solver","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2301.02142","title":"Playing hide and seek: tackling in-store picking operations while improving customer experience","created":"2023-01-05","cited_by_count":0,"area":null},{"id":"2303.01963","title":"Multi-Start Team Orienteering Problem for UAS Mission Re-Planning with Data-Efficient Deep Reinforcement Learning","created":"2023-03-02","cited_by_count":0,"area":null},{"id":"2403.18057","title":"Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems","created":"2024-03-26","cited_by_count":0,"area":null},{"id":"2411.04777","title":"Learn to Solve Vehicle Routing Problems ASAP: A Neural Optimization Approach for Time-Constrained Vehicle Routing Problems with Finite Vehicle Fleet","created":"2024-11-07","cited_by_count":0,"area":null},{"id":"2510.12273","title":"Multi-Action Self-Improvement for Neural Combinatorial Optimization","created":"2025-10-14","cited_by_count":0,"area":null}],"next_cursor":null}